Really digging into those AWS machine learning specialty courses

You are going to be totally surprised. Yeah – you are probably not going to be surprised at all based on my post yesterday. All of my free time today was spent watching AWS machine learning videos. I really started to dig into those videos and all the content that is now online for free. My honest opinion is that the content from Coursera on the Google Cloud Platform was more dynamic and the combination of constant quizzes and hands-on labs really helped me dig in and absorb the material. However, given that the AWS machine learning content is free and organized pretty well to be highly consumable it works. My plan is to take on every single bit of content they made available. That is about 30 courses and 45 hours of material. The one thing that I have noticed so far is that you can only listen to the content at 1x speed. That might not seem like a very big deal, but normally I listen to lectures in fast forward. That is how I like to go about things. Instead of listening to music in the morning and at night I’m powering through machine learning content. Focusing in on machine learning and improving my skillset has been pretty rewarding.

The AWS training and certification learning library is sorted into domains and a few other filters. Sorting down to the machine learning domain will reduce the learning library to 92 items. At the moment, I have completed 17 of the 92 items. That is not a bad start. I’m not entirely sure how long it will take me to power through all of that content. Some of the items are more involved than others. That is probably a good start toward consuming the whole learning library of 393 items. Some of them looking interesting, but I am willing to bet that the machine learning related items hold my attention better than any of the general items. Based on my recent laser focus on machine learning investing the time to finish the 92 items probably makes sense. They are free and a little bit of training every night is pretty much the path I am electing to walk down.

That AWS certified machine learning specialty certificate looks shiny

My thoughts are awash with what might be in the 45 hours of training that Amazon just released. All of my efforts to date have been focused on the Google Cloud Platform certifications, but I think it might be fun to chew through the 30 courses featuring over 45 hours of training that was just released and take the exam. I do enjoy taking exams for some ineffable reason. The idea that the exam is still in beta does make it seem extra shiny. That might just be enough to drive me to the finish line. Being first in the pool is always more fun than having to take the boring post beta version of an exam related to machine learning…

https://aws.amazon.com/training/learning-paths/machine-learning/

Starting tonight I’m going to tear through these courses and probably write about the process for the next two weeks or so as I absorb the content. The thing that I am the most curious about is which platform I will want to use going forward. I’m super comfortable in the Google Cloud Platform and ready to go do machine learning in that ecotype without reservation. My knowledge of AWS is rather limited. I just spun up an account about fifteen minutes ago.

Stanford CS221: Introduction to Artificial Intelligence Online

Kudos to Sebastian Thrun and Peter Norvig for teaching a free online version of Stanford University’s intro to artificial intelligence (AI) class. The website promises that online class participants will receive a benchmark certificate. The class is scheduled to occur between October 10 and December 16, 2011. I plan on purchasing the text book and attending the class if I can manage to sign up fast enough when the online section opens.

  1. Will other professors offer popup online sections?
  2. How many participants will be allowed to take the class?
  3. Could this type of online section breakdown the admissions gatekeeping system?